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- "Intermediate Research Software Development Skills (Python)" Lesson Material
fair-research-software
PublicA course on tools and practices for open, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research softwarehermes_stat_inf_data_vis
PublicStatistical inference and data visualization for the humanitiesr-geospatial-urban
PublicGeospatial Data Carpentry with R for Urbanistsdeep-learning-intro
PublicPlaceholder to redirect visitors to https://carpentries-lab.github.io/deep-learning-intro/bioc-project
PublicIntroduction to the Bioconductor projecthigh-dimensional-stats-r
PublicHigh-dimensional statistics with Rtargets-workshop
Publicjulia-novice
PublicA lesson exploring the Julia languageSDC-BIDS-EEG-EEGLAB
PublicWorking with EEGLAB and BIDS-EEGgood-practices-lesson
PublicGood practices in research software development (without Git)docker-introduction
PublicReproducible Computational Environments using Containersswc-ext-python
Publicfair-for-leaders
PublicFAIR for leadersSDC-BIDS-dMRI
PublicIntroduction to dMRIr-tidyverse-4-datasets
PublicR and the Tidyverse for working with datamgnify-metagenomics
PublicR-help-reprexes
Publicdeep-learning-geospatial
PublicAn introduction to deep learning for geospatial raster data (satellite images)fair-for-busy-biologists
PublicA short course on FAIR and data managment for biomedical researchhpc-workflows
Publicpython-humanities-lesson
PublicPython for Humanitiesintro-data-viz
Publica Carpentries-style lesson introducing the basics of data visualization- FAIRification of RNAseq Data
pando-python
PublicPerformance Profiling & Optimisation of Research Code (Python) - Short CourseSDC-BIDS-fMRI
PublicfMRI Imaging Analysisintro-to-modern-fortran
PublicIntroduction to Modern Fortran